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learning technology/AI as a tool to analyze these images and come up with an algorithm to be utilized for early detection of AD/PD when the patient has no visible sign and symptoms. This project is team
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nitrogen module in the Global Change Analysis Model (GCAM). The McGill-based postdoctoral researcher will have a particular focus on synthesizing and harmonizing existing subnational data (including through
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at www.nait.ca/careers Please Note: This is a temporary position ending on or before June 30, 2026, with the possibility of extension. The Clean Technology team at the Northern Alberta Institute of Technology
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via GitHub repository) in statistical analysis and modelling using R or Python with open source code Experience with high performance computing environments, particularly Digital Alliance Canada
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McGill University | Winnipeg Sargent Park Daniel McIntyre Inkster SE, Manitoba | Canada | about 2 hours ago
, deadline-driven settings. Strong interpersonal skills with the ability to collaborate effectively in a team environment. Desirable Experience in cell and molecular biology Experience in tissue culture and
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of individuals from diverse backgrounds including physics, engineering, biology, and neuroscience, our young lab offers abundant opportunities for professional growth and strongly supports independent research. We
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McGill University | Winnipeg Sargent Park Daniel McIntyre Inkster SE, Manitoba | Canada | 2 months ago
design an optical system that can be easily built and used by non-expert users. The applicant will work closely with the inventors of RAP technology and a group of academic and industry collaborators
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Experimental Subatomic Physics, Electronics Engineering, or related fields. Relevant research experience with digital electronics and firmware programming. Excellent verbal and written communication skills in
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collaborate with early career researchers, Northern partners including Indigenous communities, and international experts to analyze data and integrate findings into broader ecological models, enhancing our
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statistical modeling approaches. Support the integration of implementation science methods to improve the translation of research findings into clinical practice. Assist in the development of guidelines and